A tool for the visual analysis and processing of volumetric datasets, with a focus on industrial computed tomography datasets.
If you use open_iA for your research, please cite our journal article:
Bibtex:
@Article{Froehler:2019:JOSS,
title = {{open\_iA}: A tool for processing and visual analysis
of industrial computed tomography datasets},
author = {Bernhard Fr{\"o}hler and Johannes Weissenb{\"o}ck and
Marcel Schiwarth and Johann Kastner and Christoph Heinzl},
journal = {Journal of Open Source Software},
volume = {4},
number = {35},
year = {2019},
pages = {1185},
doi = {10.21105/joss.01185}
}
B. Fröhler, J. Weissenböck, M. Schiwarth, J. Kastner, C. Heinzl, open_iA: A tool for processing and visual analysis of industrial computed tomography datasets, Journal of Open Source Software, 4 (35), 1185, 2019, doi: 10.21105/joss.01185.
If you want to refer to the software directly, you can use the zenodo DOI; use doi: 10.5281/zenodo.2591998, which always refers to the latest release on github. You can also cite a specific release by picking the respective DOI from the list visible after following that same link).
Over the years, many people have contributed to open_iA; here is a list:
If you think you should be on this list but aren't yet, please contact us!
bernhard.froehler@fh-wels.at / Christoph.Heinzl@uni-passau.de